NPP: Normalized Power Prior Bayesian Analysis

Posterior sampling in several commonly used distributions using normalized power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752> and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>. Sampling of the power parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based on transformation.

Version:	0.7.0
Depends:	R (≥ 3.5.0)
Imports:	MASS, mvtnorm, KernSmooth
Published:	2025-08-20
DOI:	10.32614/CRAN.package.NPP
Author:	Zifei Han [aut, cre], Qiang Zhang [aut], Tianyu Bai [aut], Yuyan Duan [aut], Keying Ye [aut]
Maintainer:	Zifei Han <hanzifei1 at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	NPP results

Documentation:

Reference manual:

NPP.html , NPP.pdf

Downloads:

Package source:	NPP_0.7.0.tar.gz
Windows binaries:	r-devel: NPP_0.7.0.zip, r-release: NPP_0.6.0.zip, r-oldrel: NPP_0.6.0.zip
macOS binaries:	r-release (arm64): NPP_0.7.0.tgz, r-oldrel (arm64): NPP_0.6.0.tgz, r-release (x86_64): NPP_0.7.0.tgz, r-oldrel (x86_64): NPP_0.7.0.tgz
Old sources:	NPP archive

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